Emerging Applications of Generative Adversarial Networks

Abstract

With the idea of generative adversarial network (GAN) being brought up since 2014, a serial of research emerged in this field. While bring many exciting opportunities, these applications also raise the awareness of the risk of fake images which may cause huge damage. In this paper, we revisit the history of GAN's development and summarize some important models and applications. Additionally, we discuss the worries which GAN would bring to people and possible solutions.